OpenCode Turns GitHub Triage Into Team Memory
OpenCode’s GitHub triage system runs through a long-lived session that delegates issues to subagents with relevant prior experience. Over time, specialized agents naturally emerge, including a Linux-focused troubleshooter.
The compelling shift is from static prompt engineering to accumulated operational memory: the harness gradually learns which specialist fits each failure mode. The tradeoff is that durable context and delegation need strong observability and permission boundaries.
- –Recurring issue patterns can produce specialized subagents without upfront manual configuration
- –Long-lived sessions reduce repeated explanations and preserve project-specific debugging context
- –GitHub triage is a strong proving ground because classification, ownership, reproduction, and fixes require different expertise
- –Parallel delegation can improve throughput but increases token costs and makes failures harder to trace
- –Worktree isolation and strict permissions remain essential when agents act on untrusted issue text
DISCOVERED
1h ago
2026-11-01
PUBLISHED
2h ago
2026-11-01
RELEVANCE
AUTHOR
thdxr